{"title":"从印度语言的社会媒体文本回指解析(SocAnaRes-IL)-概述","authors":"S. L. Devi","doi":"10.1145/3441501.3441512","DOIUrl":null,"url":null,"abstract":"Resolution of anaphors is required for any application which require Natural Language Understanding (NLU) such as Information Extraction, Conversation Analysis, Opinion Mining, Machine Translation etc. The growth of social media platforms such as twitter, facebook for communication between people has led to the creation of huge user generated data different from the normal text data. This is leading to the development of a new challenge and perspective in language technology research. Thus there is great need to develop applications such as Anaphora resolution, co-reference resolution which can be used for the development of NLU systems. This shared task is on Anaphora resolution from the microblog text from Twitter for languages such as Hindi, Tamil and Malayalam (Indian Languages). Also we gave data from English which can be used as resource rich language, if one wants to take Indian languages as resources poor language. There were six registered groups who took data for development and testing but only one group submitted the run. They have used Deep learning for analysis.","PeriodicalId":415985,"journal":{"name":"Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL)- Overview\",\"authors\":\"S. L. Devi\",\"doi\":\"10.1145/3441501.3441512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Resolution of anaphors is required for any application which require Natural Language Understanding (NLU) such as Information Extraction, Conversation Analysis, Opinion Mining, Machine Translation etc. The growth of social media platforms such as twitter, facebook for communication between people has led to the creation of huge user generated data different from the normal text data. This is leading to the development of a new challenge and perspective in language technology research. Thus there is great need to develop applications such as Anaphora resolution, co-reference resolution which can be used for the development of NLU systems. This shared task is on Anaphora resolution from the microblog text from Twitter for languages such as Hindi, Tamil and Malayalam (Indian Languages). Also we gave data from English which can be used as resource rich language, if one wants to take Indian languages as resources poor language. There were six registered groups who took data for development and testing but only one group submitted the run. They have used Deep learning for analysis.\",\"PeriodicalId\":415985,\"journal\":{\"name\":\"Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3441501.3441512\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3441501.3441512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL)- Overview
Resolution of anaphors is required for any application which require Natural Language Understanding (NLU) such as Information Extraction, Conversation Analysis, Opinion Mining, Machine Translation etc. The growth of social media platforms such as twitter, facebook for communication between people has led to the creation of huge user generated data different from the normal text data. This is leading to the development of a new challenge and perspective in language technology research. Thus there is great need to develop applications such as Anaphora resolution, co-reference resolution which can be used for the development of NLU systems. This shared task is on Anaphora resolution from the microblog text from Twitter for languages such as Hindi, Tamil and Malayalam (Indian Languages). Also we gave data from English which can be used as resource rich language, if one wants to take Indian languages as resources poor language. There were six registered groups who took data for development and testing but only one group submitted the run. They have used Deep learning for analysis.